Data sciences as essential job skill! A social science, economics, and public policy training perspective

Kreuter, Frauke

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Document Type: Conference or workshop publication
Year of publication: 2018
Book title: Paderborn Symposium on Data Science Education at School Level 2017: The collected extended abstracts
Page range: 21-26
Conference title: Paderborn Symposium on Data Science Education at School Level 2017
Location of the conference venue: Paderborn, Germany
Date of the conference: 11.2017
Publisher: Biehler, Rolf ; Budde, Lea ; Frischemeier, Daniel ; Heinemann, Birte ; Podworny, Susanne ; Schulte, Carsten ; Wassong, Thomas
Place of publication: Paderborn
Publishing house: Universitätsbibliothek Paderborn
Publication language: English
Institution: School of Social Sciences > Statistik u. Sozialwissenschaftliche Methodenlehre (Kreuter 2014-2020)
Subject: 310 Statistics
370 Education
Abstract: Understanding data, understanding what information can be derived from data, understanding which decisions can be made based on such information, and knowing whom to give data to and when, will be essential for everyone joining the workforce. Even if current students are not seeking degrees in STEM/MINT fields, they will be confronted with data and will be asked to make evidenced-based decisions. This paper describes two continuing education programs that showcase which skill gaps need to be filled and why. The broad outline of these programs can serve as a baseline for discussions on the establishment of data science curricula in high schools.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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